Ecological Management Zoning Based on the Supply–Demand Relationship and Synergies of Urban Forest Ecosystem Services: A Case Study from Fuzhou, China

Forests, Journal Year: 2024, Volume and Issue: 16(1), P. 17 - 17

Published: Dec. 25, 2024

Urban forests, as vital components of green infrastructure, provide essential ecosystem services (ESs) that support urban sustainability. However, rapid expansion and increased density threaten these creating significant imbalances between the supply demand for services. Understanding characteristics reasonably dividing ecological management zones are crucial promoting sustainable development. This study introduces an innovative zoning framework based on matching degree synergies relationships ESs. Focusing Fuzhou’s fourth ring road area in China, data from 1038 forest sample plots were collected using mobile LIDAR. By integrating i-Tree Eco model Kriging interpolation, we assessed spatial distribution four key ESs—carbon sequestration, avoided runoff, air purification, heat mitigation—and analyzed their supply–demand synergies. Based characteristics, employed unsupervised machine learning classification to identify eight distinct zones, each accompanied by targeted recommendations. Key findings include following: (1) forests Fuzhou exhibit pronounced heterogeneity, with clearly identifiable high-value low-value areas statistical relevance; (2) mitigation, purification all synergistic effects, while carbon sequestration shows trade-offs other three areas, necessitating optimization; (3) identified, unique characteristics. offers precise insights into providing a foundation strategies.

Language: Английский

How can a social-ecological integration green space network be developed with land constraints? A case study from Sichuan Tianfu New Area, China

Ecological Indicators, Journal Year: 2025, Volume and Issue: 175, P. 113576 - 113576

Published: May 15, 2025

Language: Английский

Impact of Urban Green Infrastructure on the Respiratory Health of Older Adults in Shenyang, China

Forests, Journal Year: 2024, Volume and Issue: 16(1), P. 41 - 41

Published: Dec. 29, 2024

As the global population ages, respiratory health among elderly has become a key public concern. Although urban green infrastructure (UGI) potential to improve air quality and promote health, research on how its layout patterns influence older adults remains limited. This study focuses residents aged 60 above in central area of Shenyang, China, evaluate relative importance interactions different features affecting health. We utilized St. George’s Respiratory Questionnaire (SGRQ) collect data employed hierarchical regression random forest (RF) models analyze impact UGI factors across three spatial scales (300 m, 500 1000 m). The results indicate that within 300 m radius participants’ residences contributes most significantly with diminishing marginal effects as scale increases. Green space (GSA) NDVI were identified important influencing while landscape pattern metrics had greater at larger extents. Additionally, significant nonlinear effect was observed between These findings provide insights for health-oriented planning design.

Language: Английский